Paul Coggins

Chief Executive Officer Kleene.ai

Last Reviewed: September 29, 2026

Executive Summary

Paul Coggins is Chief Executive Officer of Kleene.ai, a London company that sells an AI data platform — ingestion, transformation, modelling, analytics and AI applications in one product — together with analysts who work alongside each client. He became a director of the company behind Kleene.ai in May 2025 and now leads a team of more than 30 people. His public case for the business runs against much of the AI market: where many vendors pitch autonomous agents that remove people from the loop, Coggins argues that the technical work is becoming a commodity and that the value lies in human judgement about context and whether an answer is true.

Career Highlights

• Chief Executive Officer of Kleene.ai, listed first in the company’s leadership team.
• Appointed a director of Minoro Ltd, the company that trades as Kleene.ai, on 2 May 2025, according to Companies House.
• Leads a company that reports more than 30 employees working across more than six countries.
• Company spokesman on AI deployment, data sovereignty and the data market in 2026, writing about the risks of lock-in to large language model vendors and the obstacles to European data sovereignty.

Professional Journey

Kleene.ai trades through Minoro Ltd, a London company incorporated in 2017; the business itself gives 2020 as its founding year. It built a data platform which pulls data from many systems, cleans and models it, and delivers analytics and forecasting — demand forecasting and inventory management among them — alongside an AI assistant that lets teams query their data in plain English.

Coggins joined the board in May 2025, on the same day that the company’s original director stepped down, and the company now names him Chief Executive Officer. He leads a senior team that includes a Chief Product Officer, a Chief Technical Officer and a Director of Customer Success.

His public commentary sets out where he wants Kleene.ai to sit. In the company’s review of the data market in 2026 he argued that “the technical work, getting data clean, building a model, and visualizing the answer, is commoditizing fast”, while “knowing what the context is for the questions, whether the answer is true and what to do when it contradicts what the team expected” does not. That is why the company pairs its platform with a consultancy team embedded in each engagement. He has criticised businesses that use AI “to improve margins at the expense of jobs” rather than to drive growth, and has written on data sovereignty: the debate over the NHS’s use of Palantir, and the risk of depending on a single model vendor.

Education

No education record was found in any first-party source reviewed.